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  1. Accelerometer-Based, Grip-Free Controller Tyler (You-Chi) Le ECE4220 Fall 2011 Dr. DeSouza December 5th, 2011

  2. A Quick Overview • What is the project? • A glove-integrated sensor that detects hand orientation using real-time tasks to provide control various applications • Aimed to demonstrate a flexible and dynamic alternative to the traditional controller and joystick • Prototype for demonstrations for both gaming and vehicular control for disabled persons • Two simulation programs demonstrate potential usage

  3. Purpose • Provide a flexible, cheap, and dynamic controller for operation of vehicles, simulations, and games • Integrated with glove to replace fixed-shaped joysticks • Motion-based controls for ease of use • Configurable sensitivity to accommodate varying ranges of motion • Packaged with two graphical simulations to demonstrate potential usage and applicability

  4. Motivation (Background) • For disabled individuals: • Current camera-based and optical motion sensors need min. distance and proper lighting, not appropriate for inside of cars or inside of confined spaces • Present joysticks are limited by design shape and have limited usability • Many joysticks require gripping an object rather than hand movement (May prove troublesome for people with lack of grip strength or finger damage/injuries) • Desire to provide a easy-to-configure, easy-to-use prototype for vehicle control (possibly for wheelchairs or cars)

  5. Motivation Cont. • For video game control: • Game system controllers are limited by design shape and have limited usability in representing different types of motion • Minimum distance for optical sensors not applicable for PC’s as users have to be close to keyboard and mouse • Joysticks and driving wheels are costly and single-purposed

  6. Proposed Implementation • Hardware: • Detect hand orientation using an analog 2-axis accelerometer • Accelerometer is affixed to top of glove, no finger grip necessary • Power drawn from TS-7250 DIO lines • TS-7250 on-board ADC measures analog output of accelerometer to measure tilt/orientation* *MAX197 Add-on is not available on TS-7250’s in lab

  7. Integrated ADC on TS-7250 MAX197, not avail. In current lab TS-7250 Integrated ADC 5 Channels

  8. Hardware Block Diagram 2-Axis Accelerometer ADC and TS-7250 Embedded System Linux Terminal Network Server

  9. Proposed Implementation • Software: • Control registers for ADC as well as ADC results are mapped to the compiler using mmap() and provided addresses • Four pthreads initialize real-time tasks that operate in sequence to produce graphical simulations based on hand orientation • Real-time tasks operate with 0.1 second periods for 10 Hz axis measurements, simulation update, and graphic output • Character array-based graphics printed through the Linux Terminal for graphical output • User-configured range of motion at initialization for varying sensitivity

  10. Proposed Implementation • Real-time (RT) Structure: • Two RT tasks poll the output of the 2-axis accelerometer and store result into two shared buffers • A third RT task reads from the shared buffers to update graphical positions of various simulation components • Fourth RT task prints the updated character arrays to the Terminal, producing the graphical display • Each task prevents the next successive task from execution before completion using semaphores

  11. Software Block Diagram Update Graphics Measure H-Axis Shared Buffer Shared Buffer SEM1 SEM2 SEM3 Measure V-Axis Display Graphics

  12. Real-Time Concepts Used • Pthreads – multithread operation • Periodic RT tasks • Semaphores • Shared buffer • Producer-Consumer Structure • I/O Polling • Priority Scheduling

  13. Results • TS-7250 produces measurements and displays consistent with hand motion • Simulations demonstrate both practical usage and gaming application for proposed prototype • User-defined minimum and maximum values allow customizable range of motion • The prototype cost around $15 dollars excluding the TS-7250

  14. Potential Improvements • Migrate functionality to the MAX197 Optional Add-on ADC for better accuracy and faster sampling • Better accuracy would result in better resolution, allowing smaller minimal range of motion • Expansion of buffer and threads to allow 6 axis, both-hands operation • Utilizing display drivers or programs that minimize processing speed to allow faster refresh rate • Implementation to prevent unintentional acceleration through averaging algorithms • Wirelessly integrate ADC and accelerometer

  15. Potential Implementations • Placed on hand, head, and/or fingers to sense orientation for vehicular control for disabled persons • “Makeshift” joystick similar to Nintendo Wii controllers, but with no required physical hardware to grip • Robotics control • Transport what is already available on many mobile devices to larger-scale applications

  16. Conclusion • Demonstrates a flexible and configurable prototype for a non-conventional controller • Provides a motion sensing module that does not require grip and holding an object • Potentially beneficial towards people with disabilities lacking a large range of motion or grip strength • Demonstrates potential to replace a wide variety of single-purpose video game joysticks (cost-saving) • Can be used in confined spaces on systems larger than mobile devices • Successfully demonstrates usage of real-time design in simulation and controller

  17. Questions?